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Welcome to AskHub

Building Africa's AI future together

An open directory for discovering compute, funding, training, accelerators, and partnerships opportunities. Curated by the AI Hub for Sustainable Development, co-led by Italy’s Ministry of Enterprises and Made in Italy (MIMIT) and the United Nations Development Programme (UNDP).

Recently added

  • AI Hub for Sustainable Development

    AI Diffusion Pathways for Agriculture

    AcceleratorsFeatured

    Selected ventures get access to technology at no cost, coaching and knowledge to adapt it to local agricultural challenges, and introductions to potential customers so their businesses are viable and sustainable.

    34 days left
  • The Dar Teknohama Business Incubator (DTBi)

    DTBi Incubation Program

    Accelerators

    Dar Teknohama Business Incubator supports Tanzanian digital entrepreneurs from the idea to established-company stage through incubation, shared workspace, training, coaching, technical and business mentorship, networking opportunities, and market linkages Delivery: Not specified. Cost: Free. Eligibility: Tanzanian entrepreneurs, innovators and digital technology-based startups at the idea, startup or established-company stage. · People with innovative digital business ideas, emerging digital startups and existing digital companies seeking commercialization support · Tanzania-focused.

    Rolling
  • Courses

    A free, self-paced intermediate course training learners to become quality reviewers, validators and HITL operations specialists, covering annotation pipelines, quality measurement, error detection and HITL methodologies for AI training datasets. Delivery: Online. Cost: Free. Eligibility: Learners who already understand data-annotation basics (e.g. via OP100-078) and want to move into QA/HITL roles. · Intermediate. Basic data-annotation knowledge expected. · Intermediate tier of the same AI Talents Program pipeline as OP100-014 and OP100-078..

    Rolling
  • Courses

    Stanford's graduate-level machine learning course covering supervised and unsupervised learning, deep learning and reinforcement learning with full mathematical derivations, freely available as recorded lectures. Delivery: Online. Cost: Free. Eligibility: Engineers, researchers and graduate students who want mathematical depth rather than intuition-first explanations. · Advanced. Linear algebra, multivariable calculus, probability and Python required. · About 20 lectures of ~80 minutes each, plus problem sets. Free to watch on YouTube; Stanford Online's professional certificate version is paid..

    Rolling
  • Compute

    Directory of GPU and HPC clusters available across Africa. Cost: Free. Eligibility: Researcher / academic.

    Rolling
  • DeepLearning.AI (short course, with OpenAI)

    ChatGPT Prompt Engineering for Developers

    Courses

    A free short course teaching prompt-engineering best practices for building applications with large language models, including summarising, inferring, transforming and expanding text programmatically. Delivery: Online. Cost: Free. Eligibility: Developers who want to build with LLM APIs, not only use a chat interface. · Beginner to intermediate. Basic Python helpful. · Short course (roughly 1-2 hours); runs in-browser via Jupyter notebooks..

    Rolling

All resources

115 resources · Every resource is curated by the AI Hub team.

  • AI Hub for Sustainable Development

    AI Diffusion Pathways for Agriculture

    AcceleratorsFeaturedAcceleratorsAgricultureGhana, Kenya, Morocco, Rwanda, Tanzania, Tunisia34 days left

    Selected ventures get access to technology at no cost, coaching and knowledge to adapt it to local agricultural challenges, and introductions to potential customers so their businesses are viable and sustainable.

  • AcceleratorsFeaturedComputeAll sectorsGlobalRolling

    A free programme for AI startups: technical training, GPU credits, marketing support, and investor connections.

  • ComputeAll sectorsGlobalRolling

    Google Cloud's credit programme for academic researchers, giving faculty, postdoctoral researchers and PhD students free Google Cloud credits to run compute, storage and data analysis for an approved research project. Delivery: Online. Cost: Free. Eligibility: Faculty, postdoctoral researchers and PhD students at accredited higher education institutions, and researchers at eligible non-profit research institutions, in any field of academic research. · Faculty members, postdoctoral researchers and PhD students at regionally accredited academic institutions, and researchers at non-profit research institutions whose mission is aligned to expanding academic research. For-profit institutions are not supported and Master's students are not eligible. · Applicants must submit a research proposal and a cost estimate produced with Google's pricing calculator, and must create a Google Cloud billing account before applying. Credits may only be used for the research described in the approved proposal. Credits cannot be used for Google Maps Platform products, Google Cloud support packages, or cryptocurrency mining. Faculty and postdoctoral researchers may receive one award only. Awards are made at Google's discretion and the qualifying criteria may change..

  • The Dar Teknohama Business Incubator (DTBi)

    DTBi Incubation Program

    AcceleratorsAll sectorsGlobalRolling

    Dar Teknohama Business Incubator supports Tanzanian digital entrepreneurs from the idea to established-company stage through incubation, shared workspace, training, coaching, technical and business mentorship, networking opportunities, and market linkages Delivery: Not specified. Cost: Free. Eligibility: Tanzanian entrepreneurs, innovators and digital technology-based startups at the idea, startup or established-company stage. · People with innovative digital business ideas, emerging digital startups and existing digital companies seeking commercialization support · Tanzania-focused.

  • CoursesAll sectorsGlobalRolling

    A free, self-paced intermediate course training learners to become quality reviewers, validators and HITL operations specialists, covering annotation pipelines, quality measurement, error detection and HITL methodologies for AI training datasets. Delivery: Online. Cost: Free. Eligibility: Learners who already understand data-annotation basics (e.g. via OP100-078) and want to move into QA/HITL roles. · Intermediate. Basic data-annotation knowledge expected. · Intermediate tier of the same AI Talents Program pipeline as OP100-014 and OP100-078..

  • CoursesAll sectorsGlobalRolling

    Stanford's graduate-level machine learning course covering supervised and unsupervised learning, deep learning and reinforcement learning with full mathematical derivations, freely available as recorded lectures. Delivery: Online. Cost: Free. Eligibility: Engineers, researchers and graduate students who want mathematical depth rather than intuition-first explanations. · Advanced. Linear algebra, multivariable calculus, probability and Python required. · About 20 lectures of ~80 minutes each, plus problem sets. Free to watch on YouTube; Stanford Online's professional certificate version is paid..

  • DeepLearning.AI (short course, with OpenAI)

    ChatGPT Prompt Engineering for Developers

    CoursesAll sectorsGlobalRolling

    A free short course teaching prompt-engineering best practices for building applications with large language models, including summarising, inferring, transforming and expanding text programmatically. Delivery: Online. Cost: Free. Eligibility: Developers who want to build with LLM APIs, not only use a chat interface. · Beginner to intermediate. Basic Python helpful. · Short course (roughly 1-2 hours); runs in-browser via Jupyter notebooks..

  • Kaggle (Google)

    Computer Vision

    CoursesAll sectorsGlobalRolling

    A free Kaggle Learn micro-course on building convolutional neural networks for image classification, covering transfer learning, data augmentation, and custom convnet design. Delivery: Online. Cost: Free. Eligibility: Learners with basic deep learning knowledge who want a hands-on computer vision entry point. · Intermediate. · Hands-on exercises in Kaggle notebooks..

  • FundingAll sectorsGlobalRolling

    Funds creation, augmentation and maintenance of open labelled ML datasets for underserved populations and languages. Cost: Free. Eligibility: Researcher / academic.

  • CoursesAll sectorsGlobalRolling

    Andrew Ng's widely used introductory machine learning specialization covering supervised learning (regression, classification), unsupervised learning, and recommender/reinforcement learning basics, with hands-on Python labs. Delivery: Online. Cost: Partially funded. Eligibility: Beginners with basic math comfort who want the most widely taken free-to-audit ML course. · Beginner. Basic algebra expected; no prior ML experience needed. · Free to audit each course; the specialization certificate is paid..